Association between air pollution and telomere length: A study of 471,808 UK Biobank participants

Yao Wu, D. Gasevic, Bo Wen, P. Yu, R. Xu, Guowei Zhou, Yan Zhang, Jiangning Song, Hong Liu, Shanshan Li, Yuming Guo
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引用次数: 4

Abstract

Previous research suggested an association between air pollution and shortened telomere length (TL), a biomarker of oxidative stress and inflammation. However, supporting results are challenged by the small sample size and heterogeneity in participant characteristics. To comprehensively evaluate the association of long-term exposure to air pollution with telomere length, we studied 471,808 participants from UK Biobank with measurements on leukocyte telomere length (LTL). Air pollution data on PM2.5, PM10, NO2, NOx, SO2, and CO before baseline at 1 km spatial resolution were collected and linked to each participant��s residential address. We applied mixed-effects linear regression models to examine the association between long-term air pollution exposure and LTL. Compared to the lowest quartile (Q1) of air pollutants, the estimated percentage changes of age-corrected LTL were -2.71% [95% confidence interval (CI): -3.78, -1.63] for SO2, -0.82% (95% CI: -1.87, 0.23) for NO2, -1.17% (95% CI: -2.23, -0.11) for NOx, and -0.47% (95% CI: -1.45, 0.53) for CO in the highest quartile groups (Q4). Decreasing trends in age-corrected LTL following the increase in PM2.5 and PM10 leveled off during high levels of air pollutants. Among participants with lower household income, lower educational attainment, and higher BMI, a stronger association was found between air pollution and LTL. Our findings suggest a negative association between air pollution and LTL and provide insights into the potential pathways linking air pollution to age-related diseases.
空气污染与端粒长度之间的关系:一项对471808名英国生物银行参与者的研究
先前的研究表明,空气污染与端粒长度缩短(TL)之间存在关联,TL是氧化应激和炎症的生物标志物。然而,支持结果受到样本量小和参与者特征异质性的挑战。为了全面评估长期暴露于空气污染与端粒长度的关系,我们研究了来自英国生物银行的471,808名参与者,测量了白细胞端粒长度(LTL)。收集了基线前1公里空间分辨率的PM2.5、PM10、NO2、NOx、SO2和CO的空气污染数据,并与每个参与者的居住地址相关联。我们采用混合效应线性回归模型来检验长期空气污染暴露与LTL之间的关系。与空气污染物的最低四分位数(Q1)相比,SO2的年龄校正LTL的估计百分比变化为-2.71%[95%可信区间(CI): -3.78, -1.63], NO2的估计百分比变化为-0.82% (95% CI: -1.87, 0.23), NOx的估计百分比变化为-1.17% (95% CI: -2.23, -0.11), CO的估计百分比变化为-0.47% (95% CI: -1.45, 0.53)。随着PM2.5和PM10的增加,年龄校正LTL的下降趋势在高水平空气污染物期间趋于平稳。在家庭收入较低、受教育程度较低、身体质量指数较高的参与者中,空气污染与LTL之间存在更强的关联。我们的研究结果表明,空气污染与LTL之间存在负相关关系,并为将空气污染与年龄相关疾病联系起来的潜在途径提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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